Acute Physiology and Chronic Health Evaluation II score for the assessment of mortality prediction in the intensive care unit: a single-centre study from Iran.

BACKGROUND: The Acute Physiology and Chronic Health Evaluation (APACHE) II is still commonly used as an index of illness severity in patients admitted to intensive care unit (ICU) and has been validated for many research and clinical audit purposes. AIMS AND OBJECTIVES: To investigate the diagnostic value of the APACHE II score for predicting mortality rate of critically ill patients. DESIGN: This was a single-centre, retrospective study of 200 Iranian patients admitted in the medical-surgical adult ICU from June 2012 to May 2013. METHODS: Demographic data, pre-existing comorbidities and variables required for calculating the APACHE II score were recorded. Receiver operating characteristic (ROC) curves were constructed, and the area under the ROC curves was calculated to assess the predictive value of the APACHE II score. RESULTS: Of the 200 patients with a mean age of 55·27 ± 21·59 years enrolled in the study, 112 (54%) were admitted in the medical ICU and 88 (46%) in the surgical ICU. Finally, 116 patients (58%) died, and 84 patients (42%) survived. The overall actual and predicted ICU mortality were 58% and 25·16%, respectively. The mean APACHE II score was 16·31 in total patients, 17·78 in medical ICU and 14·45 in surgical ICU patients (P = 0·003). Overall, the APACHE II score had the highest prognostic value for predicting the mortality rate of critically ill patients with an area under the cure of 0·88, and with a cut-off value of 15, the APACHE II score predicted mortality of patients with a sensitivity of 85·3%, a specificity of 77·4%, a positive predictive value of 83·9% and a negative predictive value of 73·9%. CONCLUSION: This study shows that an APACHE II score of 15 provides the best diagnostic accuracy to predict mortality of critically ill patients. Our observed mortality rate was greater than the predicted death rate, in comparison to the other prestigious centres in the world. Therefore, it appears that we must improve our intensive care to reduce mortality. RELEVANCE TO CLINICAL PRACTICE: There is a need to create a suitable scoring system to predict the mortality rate of critically ill patients in accordance with the advanced technological equipment and experienced physicians and nurses in that ICU.

Technetium-99m methoxyisobutylisonitrile scintigraphy in the assessment of cold thyroid nodules: is it time to change the approach to the management of cold thyroid nodules?

BACKGROUND: Scanning with technetium-99m methoxyisobutylisonitrile (Tc-MIBI) is recommended for evaluating thyroid nodule metabolism. In addition, it may help differentiate between benign and malignant nodules; however, the efficacy of this technique has not been fully elucidated. Therefore, it is not currently performed for routine clinical application. This prospective study was conducted to investigate the clinical significance of Tc-MIBI scintigraphy in the assessment of patients with cold thyroid nodules. PATIENTS AND METHODS: This prospective study was conducted on 104 patients with cold thyroid nodules greater than 1 cm in diameter as detected on Tc-pertechnetate scintigraphy. Uptake of MIBI in thyroid nodules was compared with that in the surrounding normal thyroid tissue for both early and delayed images, and a score of 0-3 was assigned to each nodule as follows: 0, cold; 1, decreased; 2, equal; 3, increased. The thyroid scan was performed 20 and 40 min after intravenous injection of 555 MBq of Tc-MIBI. The patients underwent fine-needle aspiration cytology (FNAC). Detailed statistical parameters were determined on a per-nodule basis for each qualitative and quantitative scan analysis, as defined by histology. RESULTS: A total of 104 patients (93 women and 11 men; mean age 40.76±11.40 years, range 20-73) with a total number of 167 cold nodules were included in this study. When Tc-MIBI uptake was regarded as the criterion of malignancy in Tc-MIBI scintigraphy, the accuracy was between 69.46 and 92.21% on using seven different methods. In addition, FNAC findings indicated a sensitivity of 66.66%, a specificity of 100%, a negative predictive value of 95.72%, a positive predictive value of 100%, and an accuracy of 96.06%. Six malignant cold nodules were detected on a positive Tc-MIBI scan, which were determined as benign nodules on FNAC examinations. CONCLUSION: The study demonstrated that Tc-MIBI scanning can be complementary to other diagnostic techniques in patients with cold thyroid nodules. In addition, because of its availability, rather low cost, simple protocol, and objective semiquantitative information, Tc-MIBI scanning seems to hold promise in routine imaging of cold thyroid nodules.